# Apcone

> Apcone — adedev-w-apcone. Use this tool when you need to leverage mini RAG services for AI agents, providing a streamlined interface for accessing and managing git repositories. It solves problems related to version control and collaboration, enabling AI agents to efficiently interact with codebases. Ideal for use cases involving automated code management and integration with AI workflows.

Canonical page: https://skillsregistry.net/skills/adedev-w-apcone  
JSON: https://api.skillsregistry.net/v1/skills/adedev-w-apcone

## Description

Mini RAG Services for AI Agent

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Adedev-W/Apcone)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "adedev-w-apcone"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adedev-w-apcone` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adedev-w-apcone/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt